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Financial fragility in a general equilibrium model: the Brazilian case

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Listed:
  • Benjamin Tabak
  • Daniel Cajueiro
  • Dimas Fazio

Abstract

This paper employs a general equilibrium approach to model the Brazilian financial system. We show that the model is able to replicate the main characteristics of the data and to predict short-term trends. We calibrate the model for the years of 2002–2006, which comprise a crisis period in Brazil’s financial system. Empirical results suggest that the financial system is improving in terms of financial stability over time. Furthermore, the model has been proven useful to model the Brazilian banking system and could be employed to evaluate the impact of changes in financial regulation on the banking system. Copyright Springer-Verlag 2013

Suggested Citation

  • Benjamin Tabak & Daniel Cajueiro & Dimas Fazio, 2013. "Financial fragility in a general equilibrium model: the Brazilian case," Annals of Finance, Springer, vol. 9(3), pages 519-541, August.
    • Handle: RePEc:kap:annfin:v:9:y:2013:i:3:p:519-541
    DOI: 10.1007/s10436-012-0199-9
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    14. Chang, E.J. & Guerra, S.M. & Lima, E.J.A. & Tabak, B.M., 2008. "The stability-concentration relationship in the Brazilian banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(4), pages 388-397, October.
    15. Bolt, Wilko & de Haan, Leo & Hoeberichts, Marco & van Oordt, Maarten R.C. & Swank, Job, 2012. "Bank profitability during recessions," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2552-2564.
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    Cited by:

    1. Tabak, Benjamin M. & Takami, Marcelo & Rocha, Jadson M.C. & Cajueiro, Daniel O. & Souza, Sergio R.S., 2014. "Directed clustering coefficient as a measure of systemic risk in complex banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 211-216.
    2. Thomas F. Coleman & Alex LaPlante & Alexey Rubtsov, 2018. "Analysis of the SRISK measure and its application to the Canadian banking and insurance industries," Annals of Finance, Springer, vol. 14(4), pages 547-570, November.
    3. Ondřej Machek & Luboš Smrčka, 2015. "An updated Model of Financial Fragility based on General Equilibrium Analysis [Aktualizace modelu finanční křehkosti založeného na analýze všeobecné rovnováhy]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2015(4), pages 23-42.
    4. Conrad F. J. Beyers & Allan Freitas & Kojo A. Essel-Mensah & Reyno Seymore & Dimitrios P. Tsomocos, 2020. "A computable general equilibrium model for banking sector risk assessment in South Africa," Annals of Finance, Springer, vol. 16(2), pages 195-218, June.
    5. Frederik J.C. Beyers & Allan De Freitas & Kojo A. Essel‐Mensah & Reyno Seymore & Dimitrios P. Tsomocos, 2022. "A computable general equilibrium model as a banking sector regulatory tool in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 90(1), pages 93-120, March.

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    More about this item

    Keywords

    General equilibrium; Financial stability; Banking system; Financial regulation; Calibration; G01; G10; G15; G18; G21;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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